I am having the same issue on the large compute! Except my error looks like

[rkxn8] [2023-09-15 19:49:24 +0000] [2] [INFO] Starting gunicorn 21.2.0
[rkxn8] [2023-09-15 19:49:24 +0000] [2] [INFO] Listening at: http://0.0.0.0:8080 (2)
[rkxn8] [2023-09-15 19:49:24 +0000] [2] [INFO] Using worker: sync
[rkxn8] [2023-09-15 19:49:24 +0000] [3] [INFO] Booting worker with pid: 3
[rkxn8] [2023-09-15 19:49:24 +0000] [4] [INFO] Booting worker with pid: 4
[rkxn8] [2023-09-15 19:49:24 +0000] [5] [INFO] Booting worker with pid: 5
[rkxn8] [2023-09-15 19:49:24 +0000] [6] [INFO] Booting worker with pid: 6
[rkxn8] [2023-09-15 19:49:57 +0000] [2] [ERROR] Worker (pid:5) was sent SIGKILL! Perhaps out of memory?
[rkxn8] [2023-09-15 19:49:57 +0000] [29] [INFO] Booting worker with pid: 29
[rkxn8] [2023-09-15 19:50:05 +0000] [2] [ERROR] Worker (pid:3) was sent SIGKILL! Perhaps out of memory?
[rkxn8] [2023-09-15 19:50:05 +0000] [33] [INFO] Booting worker with pid: 33
[rkxn8] [2023-09-15 19:50:48 +0000] [2] [ERROR] Worker (pid:6) was sent SIGKILL! Perhaps out of memory?
[rkxn8] [2023-09-15 19:50:48 +0000] [57] [INFO] Booting worker with pid: 57
[rkxn8] [2023-09-15 19:51:00 +0000] [2] [ERROR] Worker (pid:4) was sent SIGKILL! Perhaps out of memory?
[rkxn8] [2023-09-15 19:51:00 +0000] [63] [INFO] Booting worker with pid: 63

Trying to deploy a 1.5B param model.